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利用Col-0×Don-0群体对15个形态计量性状进行数量性状基因座定位。

Mapping QTLs for 15 morpho-metric traits in using Col-0 × Don-0 population.

作者信息

Gupta Astha, Jaiswal Vandana, Sawant Samir V, Yadav Hemant Kumar

机构信息

1CSIR-National Botanical Research Institute, Rana Pratap Marg, Lucknow, UP 226 001 India.

2Academy of Scientific and Innovative Research (AcSIR), New Delhi, 110 025 India.

出版信息

Physiol Mol Biol Plants. 2020 May;26(5):1021-1034. doi: 10.1007/s12298-020-00800-7. Epub 2020 Apr 17.

DOI:10.1007/s12298-020-00800-7
PMID:32377050
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7196571/
Abstract

Genome wide quantitative trait loci (QTL) mapping was conducted in using F mapping population (Col-0 × Don-0) and SNPs markers. A total of five linkage groups were obtained with number of SNPs varying from 45 to 59 per linkage group. The composite interval mapping detected a total of 36 QTLs for 15 traits and the number of QTLs ranged from one (root length, root dry biomass, cauline leaf width, number of internodes and internode distance) to seven (for bolting days). The range of phenotypic variance explained (PVE) and logarithm of the odds ratio of these 36 QTLs was found be 0.19-38.17% and 3.0-6.26 respectively. Further, the epistatic interaction detected one main effect QTL and four epistatic QTLs. Five major QTLs viz. , , , , with PVE > 15.0% might be useful for fine mapping to identify genes associated with respective traits, and also for development of specialized population through marker assisted selection. The identification of additive and dominant effect QTLs and desirable alleles of each of above mentioned traits would also be important for future research.

摘要

利用F作图群体（Col-0×Don-0）和单核苷酸多态性（SNP）标记，对全基因组数量性状位点（QTL）进行了定位。共获得了5个连锁群，每个连锁群的SNP数量在45至59个之间。复合区间作图共检测到15个性状的36个QTL，QTL数量从1个（根长、根干生物量、茎生叶宽度、节数和节间距离）到7个（抽薹天数）不等。这36个QTL的表型变异解释率（PVE）范围为0.19%-38.17%，对数优势比范围为3.0-6.26。此外，上位性互作检测到1个主效QTL和4个上位性QTL。5个主要QTL，即，，，，，PVE>15.0%，可能有助于精细定位以鉴定与各性状相关的基因，也有助于通过标记辅助选择开发专门群体。鉴定上述各性状的加性和显性效应QTL以及理想等位基因对未来研究也很重要。